Something fundamental shifted in frontend development in 2024, and most developers are still catching up. React Server Components (RSC) represent the most significant architectural change to React since hooks, fundamentally rethinking where code executes and how data flows through modern web applications. After building production systems with RSC for the past year, I’ve come to […]
Read more →Month: September 2025
Streaming UI Updates for AI: Implementing Server-Sent Events in Frontend
Streaming UI Updates for AI: Implementing Server-Sent Events in Frontend Expert Guide to Building Real-Time Streaming Interfaces with Server-Sent Events I’ve built streaming interfaces for dozens of AI applications, and I can tell you: Server-Sent Events (SSE) is the unsung hero of real-time AI frontends. While WebSockets get all the attention, SSE is simpler, more […]
Read more →Agent Memory and State Management: Building Persistent AI Agents
Building agents without memory is like building amnesiac assistants. After implementing persistent memory across 8+ agent systems, task completion improved by 60%. Here’s the complete guide to building agents that remember. Figure 1: Agent Memory Architecture Why Agent Memory Matters: The Cost of Amnesia Agents without memory face critical limitations: No context: Can’t remember previous […]
Read more →Mastering Agent Communication Patterns in Microsoft AutoGen: From Two-Agent Chats to Complex Orchestration
📖 Part 2 of 6 | Microsoft AutoGen: Building Multi-Agent AI Systems 📚 Microsoft AutoGen Series Introduction to Agentic Development Agent Communication Patterns Automated Code Generation RAG Integration Production Deployment Advanced Patterns ← Previous: Part 1 Next: Part 3 → Building on the core concepts from Part 1, this article explores the communication patterns that […]
Read more →Enterprise GenAI: Taking AI Applications from Prototype to Production at Scale
Deploy GenAI at enterprise scale. Learn model routing, observability, security patterns, cost management, and what the future holds for AI in production.
Read more →Real-Time Healthcare Data Pipelines: Kafka + FHIR for Clinical Decision Support
Build production-ready real-time clinical decision support systems using Apache Kafka and FHIR. Includes complete .NET/Python code, architecture patterns, and lessons from processing millions of healthcare events per day.
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